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Article

Structure Learning for Hierarchical Regulatory Networks

2021-05-28

Abstract excerpt

<h4>ABSTRACT</h4> Network analysis offers a powerful technique to model the relationships between genes within biological regulatory networks. Inference of biological network structures is often performed on high-dimensional data, yet is hindered by the limited sample size of high throughput “omics” data typically available. To overcome this challenge, we exploit known organizing principles of biological networks...

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Literature Corpus work
ec898295-edd8-52e0-82cd-6e7c257b0f07
DOI
10.1101/2021.05.27.446022
Open publication

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Structure Learning for Hierarchical Regulatory NetworksDOI 10.1101/2021.05.27.446022
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